Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	7597
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.2 MiB
Average record size in memory	172.0 B

Variable types

Text	3
Numeric	12
Categorical	6
DateTime	1

Alerts

`Bathroom` is highly overall correlated with `Bedroom2` and 1 other fields	High correlation
`Bedroom2` is highly overall correlated with `Bathroom` and 3 other fields	High correlation
`Category` is highly overall correlated with `Price` and 2 other fields	High correlation
`CouncilArea` is highly overall correlated with `Lattitude` and 3 other fields	High correlation
`Landsize` is highly overall correlated with `Bedroom2` and 1 other fields	High correlation
`Lattitude` is highly overall correlated with `CouncilArea` and 1 other fields	High correlation
`Longtitude` is highly overall correlated with `CouncilArea` and 2 other fields	High correlation
`Postcode` is highly overall correlated with `CouncilArea` and 3 other fields	High correlation
`Price` is highly overall correlated with `Bedroom2` and 3 other fields	High correlation
`Price_per_Room` is highly overall correlated with `Category` and 1 other fields	High correlation
`Regionname` is highly overall correlated with `CouncilArea` and 2 other fields	High correlation
`Rooms` is highly overall correlated with `Bathroom` and 3 other fields	High correlation
`Type` is highly overall correlated with `Category`	High correlation
`Landsize` is highly skewed (γ1 = 36.21793171)	Skewed
`Car` has 587 (7.7%) zeros	Zeros
`Landsize` has 1453 (19.1%) zeros	Zeros

Reproduction

Analysis started	2025-02-23 13:14:30.685157
Analysis finished	2025-02-23 13:15:05.304631
Duration	34.62 seconds
Software version	ydata-profiling vv4.12.2
Download configuration	config.json

Suburb
Text

Distinct	142
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Length

Max length	18
Median length	15
Mean length	9.7321311
Min length	3

Characters and Unicode

Total characters	73935
Distinct characters	47
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Abbotsford
2nd row	Abbotsford
3rd row	Abbotsford
4th row	Abbotsford
5th row	Abbotsford

Value	Count	Frequency (%)
east	674	6.5%
north	426	4.1%
bentleigh	314	3.0%
west	313	3.0%
south	270	2.6%
melbourne	269	2.6%
brunswick	263	2.5%
brighton	252	2.4%
reservoir	227	2.2%
vale	202	1.9%
Other values (112)	7205	69.2%

Most occurring characters

Value	Count	Frequency (%)
e	6637	9.0%
o	6338	8.6%
r	6140	8.3%
n	5354	7.2%
t	4801	6.5%
a	4612	6.2%
l	3994	5.4%
i	3736	5.1%
s	3649	4.9%
	2818	3.8%
Other values (37)	25856	35.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	73935	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6637	9.0%
o	6338	8.6%
r	6140	8.3%
n	5354	7.2%
t	4801	6.5%
a	4612	6.2%
l	3994	5.4%
i	3736	5.1%
s	3649	4.9%
	2818	3.8%
Other values (37)	25856	35.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	73935	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6637	9.0%
o	6338	8.6%
r	6140	8.3%
n	5354	7.2%
t	4801	6.5%
a	4612	6.2%
l	3994	5.4%
i	3736	5.1%
s	3649	4.9%
	2818	3.8%
Other values (37)	25856	35.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	73935	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6637	9.0%
o	6338	8.6%
r	6140	8.3%
n	5354	7.2%
t	4801	6.5%
a	4612	6.2%
l	3994	5.4%
i	3736	5.1%
s	3649	4.9%
	2818	3.8%
Other values (37)	25856	35.0%

Address
Text

Distinct	7516
Distinct (%)	98.9%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Length

Max length	25
Median length	21
Mean length	13.61906
Min length	8

Characters and Unicode

Total characters	103464
Distinct characters	64
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7439 ?
Unique (%)	97.9%

Sample

1st row	85 Turner St
2nd row	25 Bloomburg St
3rd row	5 Charles St
4th row	40 Federation La
5th row	55a Park St

Value	Count	Frequency (%)
st	5002	21.9%
rd	1676	7.3%
ct	215	0.9%
gr	182	0.8%
dr	137	0.6%
4	134	0.6%
5	127	0.6%
pde	126	0.6%
3	123	0.5%
6	109	0.5%
Other values (4740)	15056	65.8%

Most occurring characters

Value	Count	Frequency (%)
	15290	14.8%
t	7545	7.3%
S	5533	5.3%
e	5363	5.2%
r	4633	4.5%
a	4422	4.3%
1	4035	3.9%
n	4032	3.9%
o	3850	3.7%
l	3430	3.3%
Other values (54)	45331	43.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	103464	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	15290	14.8%
t	7545	7.3%
S	5533	5.3%
e	5363	5.2%
r	4633	4.5%
a	4422	4.3%
1	4035	3.9%
n	4032	3.9%
o	3850	3.7%
l	3430	3.3%
Other values (54)	45331	43.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	103464	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	15290	14.8%
t	7545	7.3%
S	5533	5.3%
e	5363	5.2%
r	4633	4.5%
a	4422	4.3%
1	4035	3.9%
n	4032	3.9%
o	3850	3.7%
l	3430	3.3%
Other values (54)	45331	43.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	103464	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	15290	14.8%
t	7545	7.3%
S	5533	5.3%
e	5363	5.2%
r	4633	4.5%
a	4422	4.3%
1	4035	3.9%
n	4032	3.9%
o	3850	3.7%
l	3430	3.3%
Other values (54)	45331	43.8%

Rooms
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8427011

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.95715397
Coefficient of variation (CV)	0.33670581
Kurtosis	0.73758351
Mean	2.8427011
Median Absolute Deviation (MAD)	1
Skewness	0.44878548
Sum	21596
Variance	0.91614373
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	3126	41.1%
2	2368	31.2%
4	1323	17.4%
1	442	5.8%
5	297	3.9%
6	30	0.4%
8	6	0.1%
7	5	0.1%

Value	Count	Frequency (%)
1	442	5.8%
2	2368	31.2%
3	3126	41.1%
4	1323	17.4%
5	297	3.9%
6	30	0.4%
7	5	0.1%
8	6	0.1%

Value	Count	Frequency (%)
8	6	0.1%
7	5	0.1%
6	30	0.4%
5	297	3.9%
4	1323	17.4%
3	3126	41.1%
2	2368	31.2%
1	442	5.8%

Type
Categorical

High correlation

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

h	4981
u	1955
t	661

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7597
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	h
2nd row	h
3rd row	h
4th row	h
5th row	h

Common Values

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Most occurring characters

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7597	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7597	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7597	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	4981	65.6%
u	1955	25.7%
t	661	8.7%

Price
Real number (ℝ)

High correlation

Distinct	1711
Distinct (%)	22.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1088322.6

Minimum	85000
Maximum	6500000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	85000
5-th percentile	394600
Q1	645000
median	910000
Q3	1350000
95-th percentile	2346000
Maximum	6500000
Range	6415000
Interquartile range (IQR)	705000

Descriptive statistics

Standard deviation	656081.06
Coefficient of variation (CV)	0.60283692
Kurtosis	6.4732471
Mean	1088322.6
Median Absolute Deviation (MAD)	325000
Skewness	1.9858169
Sum	8.267987 × 10⁹
Variance	4.3044236 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
600000	65	0.9%
1100000	62	0.8%
1300000	59	0.8%
650000	57	0.8%
800000	54	0.7%
1000000	54	0.7%
700000	51	0.7%
1200000	50	0.7%
900000	49	0.6%
1400000	47	0.6%
Other values (1701)	7049	92.8%

Value	Count	Frequency (%)
85000	1	< 0.1%
131000	1	< 0.1%
145000	2	< 0.1%
185000	1	< 0.1%
190000	1	< 0.1%
200000	1	< 0.1%
210000	3	< 0.1%
215000	1	< 0.1%
216000	2	< 0.1%
220000	1	< 0.1%

Value	Count	Frequency (%)
6500000	1	< 0.1%
6250000	1	< 0.1%
5800000	1	< 0.1%
5700000	1	< 0.1%
5525000	1	< 0.1%
5500000	2	< 0.1%
5100000	1	< 0.1%
5050000	1	< 0.1%
5046000	1	< 0.1%
4850000	1	< 0.1%

Method
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

S	5034
PI	940
SP	923
VB	675
SA	25

Length

Max length	2
Median length	1
Mean length	1.33737
Min length	1

Characters and Unicode

Total characters	10160
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S
2nd row	S
3rd row	SP
4th row	PI
5th row	VB

Common Values

Value	Count	Frequency (%)
S	5034	66.3%
PI	940	12.4%
SP	923	12.1%
VB	675	8.9%
SA	25	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	5034	66.3%
pi	940	12.4%
sp	923	12.1%
vb	675	8.9%
sa	25	0.3%

Most occurring characters

Value	Count	Frequency (%)
S	5982	58.9%
P	1863	18.3%
I	940	9.3%
V	675	6.6%
B	675	6.6%
A	25	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10160	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	5982	58.9%
P	1863	18.3%
I	940	9.3%
V	675	6.6%
B	675	6.6%
A	25	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10160	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	5982	58.9%
P	1863	18.3%
I	940	9.3%
V	675	6.6%
B	675	6.6%
A	25	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10160	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	5982	58.9%
P	1863	18.3%
I	940	9.3%
V	675	6.6%
B	675	6.6%
A	25	0.2%

SellerG
Text

Distinct	184
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Length

Max length	23
Median length	19
Mean length	6.5199421
Min length	1

Characters and Unicode

Total characters	49532
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	0.7%

Sample

1st row	Biggin
2nd row	Biggin
3rd row	Biggin
4th row	Biggin
5th row	Nelson

Value	Count	Frequency (%)
nelson	1008	13.3%
jellis	812	10.7%
hockingstuart	706	9.3%
barry	504	6.6%
marshall	439	5.8%
buxton	361	4.8%
ray	265	3.5%
biggin	245	3.2%
brad	224	2.9%
woodards	182	2.4%
Other values (172)	2851	37.5%

Most occurring characters

Value	Count	Frequency (%)
l	4765	9.6%
s	4179	8.4%
a	4011	8.1%
e	3877	7.8%
r	3559	7.2%
o	3321	6.7%
n	3137	6.3%
i	2885	5.8%
t	2271	4.6%
g	1687	3.4%
Other values (43)	15840	32.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49532	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	4765	9.6%
s	4179	8.4%
a	4011	8.1%
e	3877	7.8%
r	3559	7.2%
o	3321	6.7%
n	3137	6.3%
i	2885	5.8%
t	2271	4.6%
g	1687	3.4%
Other values (43)	15840	32.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49532	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	4765	9.6%
s	4179	8.4%
a	4011	8.1%
e	3877	7.8%
r	3559	7.2%
o	3321	6.7%
n	3137	6.3%
i	2885	5.8%
t	2271	4.6%
g	1687	3.4%
Other values (43)	15840	32.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49532	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	4765	9.6%
s	4179	8.4%
a	4011	8.1%
e	3877	7.8%
r	3559	7.2%
o	3321	6.7%
n	3137	6.3%
i	2885	5.8%
t	2271	4.6%
g	1687	3.4%
Other values (43)	15840	32.0%

Date
Date

Distinct	42
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Minimum	2016-01-28 00:00:00
Maximum	2017-05-20 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=42)

Distance
Real number (ℝ)

Distinct	93
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5851915

Minimum	1.2
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	1.2
5-th percentile	2.6
Q1	5.9
median	8.8
Q3	11.2
95-th percentile	13.9
Maximum	15
Range	13.8
Interquartile range (IQR)	5.3

Descriptive statistics

Standard deviation	3.5893563
Coefficient of variation (CV)	0.41808692
Kurtosis	-1.0131369
Mean	8.5851915
Median Absolute Deviation (MAD)	2.7
Skewness	-0.14617508
Sum	65221.7
Variance	12.883479
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11.2	589	7.8%
9.2	338	4.4%
13.9	305	4.0%
7.8	226	3.0%
13	223	2.9%
2.6	208	2.7%
8	204	2.7%
3.3	194	2.6%
4.6	184	2.4%
5.9	168	2.2%
Other values (83)	4958	65.3%

Value	Count	Frequency (%)
1.2	29	0.4%
1.5	14	0.2%
1.6	78	1.0%
1.8	35	0.5%
1.9	20	0.3%
2.1	51	0.7%
2.3	51	0.7%
2.5	58	0.8%
2.6	208	2.7%
2.8	32	0.4%

Value	Count	Frequency (%)
15	31	0.4%
14.9	31	0.4%
14.7	32	0.4%
14.6	50	0.7%
14.5	41	0.5%
14	27	0.4%
13.9	305	4.0%
13.8	131	1.7%
13.7	85	1.1%
13.6	34	0.4%

Postcode
Real number (ℝ)

High correlation

Distinct	94
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3096.3282

Minimum	3000
Maximum	3207
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	3000
5-th percentile	3013
Q1	3044
median	3081
Q3	3146
95-th percentile	3204
Maximum	3207
Range	207
Interquartile range (IQR)	102

Descriptive statistics

Standard deviation	60.313405
Coefficient of variation (CV)	0.019479009
Kurtosis	-1.1959414
Mean	3096.3282
Median Absolute Deviation (MAD)	47
Skewness	0.27549294
Sum	23522805
Variance	3637.7068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3073	227	3.0%
3121	210	2.8%
3020	209	2.8%
3165	204	2.7%
3040	186	2.4%
3032	177	2.3%
3204	165	2.2%
3046	164	2.2%
3058	164	2.2%
3163	160	2.1%
Other values (84)	5731	75.4%

Value	Count	Frequency (%)
3000	32	0.4%
3002	14	0.2%
3003	17	0.2%
3006	29	0.4%
3008	3	< 0.1%
3011	133	1.8%
3012	143	1.9%
3013	102	1.3%
3015	122	1.6%
3016	78	1.0%

Value	Count	Frequency (%)
3207	104	1.4%
3206	72	0.9%
3205	51	0.7%
3204	165	2.2%
3189	50	0.7%
3188	101	1.3%
3187	108	1.4%
3186	144	1.9%
3185	55	0.7%
3184	85	1.1%

Bedroom2
Real number (ℝ)

High correlation

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.8029485

Minimum	0
Maximum	20
Zeros	11
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	4
Maximum	20
Range	20
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.96829777
Coefficient of variation (CV)	0.34545685
Kurtosis	13.981085
Mean	2.8029485
Median Absolute Deviation (MAD)	1
Skewness	1.1808598
Sum	21294
Variance	0.93760057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
3	3144	41.4%
2	2459	32.4%
4	1234	16.2%
1	452	5.9%
5	260	3.4%
6	25	0.3%
0	11	0.1%
7	5	0.1%
8	3	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
0	11	0.1%
1	452	5.9%
2	2459	32.4%
3	3144	41.4%
4	1234	16.2%
5	260	3.4%
6	25	0.3%
7	5	0.1%
8	3	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
9	3	< 0.1%
8	3	< 0.1%
7	5	0.1%
6	25	0.3%
5	260	3.4%
4	1234	16.2%
3	3144	41.4%
2	2459	32.4%
1	452	5.9%

Bathroom
Real number (ℝ)

High correlation

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5038831

Minimum	0
Maximum	8
Zeros	27
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.69633202
Coefficient of variation (CV)	0.4630227
Kurtosis	4.2223773
Mean	1.5038831
Median Absolute Deviation (MAD)	0
Skewness	1.5142174
Sum	11425
Variance	0.48487828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	4417	58.1%
2	2565	33.8%
3	507	6.7%
4	59	0.8%
0	27	0.4%
5	15	0.2%
6	4	0.1%
7	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
0	27	0.4%
1	4417	58.1%
2	2565	33.8%
3	507	6.7%
4	59	0.8%
5	15	0.2%
6	4	0.1%
7	2	< 0.1%
8	1	< 0.1%

Value	Count	Frequency (%)
8	1	< 0.1%
7	2	< 0.1%
6	4	0.1%
5	15	0.2%
4	59	0.8%
3	507	6.7%
2	2565	33.8%
1	4417	58.1%
0	27	0.4%

Car
Real number (ℝ)

Zeros

Distinct	9
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5298144

Minimum	0
Maximum	8
Zeros	587
Zeros (%)	7.7%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.91908678
Coefficient of variation (CV)	0.6007832
Kurtosis	4.4556033
Mean	1.5298144
Median Absolute Deviation (MAD)	1
Skewness	1.3278195
Sum	11622
Variance	0.84472052
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	3489	45.9%
2	2843	37.4%
0	587	7.7%
3	369	4.9%
4	252	3.3%
5	25	0.3%
6	22	0.3%
8	5	0.1%
7	5	0.1%

Value	Count	Frequency (%)
0	587	7.7%
1	3489	45.9%
2	2843	37.4%
3	369	4.9%
4	252	3.3%
5	25	0.3%
6	22	0.3%
7	5	0.1%
8	5	0.1%

Value	Count	Frequency (%)
8	5	0.1%
7	5	0.1%
6	22	0.3%
5	25	0.3%
4	252	3.3%
3	369	4.9%
2	2843	37.4%
1	3489	45.9%
0	587	7.7%

Landsize
Real number (ℝ)

High correlation Skewed Zeros

Distinct	1158
Distinct (%)	15.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	454.12926

Minimum	0
Maximum	75100
Zeros	1453
Zeros (%)	19.1%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	132
median	339
Q3	616
95-th percentile	911.2
Maximum	75100
Range	75100
Interquartile range (IQR)	484

Descriptive statistics

Standard deviation	1274.3774
Coefficient of variation (CV)	2.8061997
Kurtosis	1804.8884
Mean	454.12926
Median Absolute Deviation (MAD)	252
Skewness	36.217932
Sum	3450020
Variance	1624037.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1453	19.1%
650	46	0.6%
697	25	0.3%
700	24	0.3%
217	21	0.3%
696	21	0.3%
586	20	0.3%
597	20	0.3%
590	19	0.3%
215	19	0.3%
Other values (1148)	5929	78.0%

Value	Count	Frequency (%)
0	1453	19.1%
1	1	< 0.1%
14	1	< 0.1%
29	1	< 0.1%
36	2	< 0.1%
41	1	< 0.1%
43	1	< 0.1%
47	1	< 0.1%
49	1	< 0.1%
50	2	< 0.1%

Value	Count	Frequency (%)
75100	1	< 0.1%
41400	1	< 0.1%
37000	1	< 0.1%
21700	1	< 0.1%
17200	2	< 0.1%
15900	1	< 0.1%
15100	1	< 0.1%
14500	1	< 0.1%
10100	1	< 0.1%
8680	1	< 0.1%

CouncilArea
Categorical

High correlation

Distinct	20
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Boroondara	813
Moreland	771
Moonee Valley	701
Darebin	651
Glen Eira	647
Other values (15)	4014

Length

Max length	13
Median length	10
Mean length	9.2353561
Min length	4

Characters and Unicode

Total characters	70161
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Yarra
2nd row	Yarra
3rd row	Yarra
4th row	Yarra
5th row	Yarra

Common Values

Value	Count	Frequency (%)
Boroondara	813	10.7%
Moreland	771	10.1%
Moonee Valley	701	9.2%
Darebin	651	8.6%
Glen Eira	647	8.5%
Stonnington	521	6.9%
Maribyrnong	484	6.4%
Yarra	455	6.0%
Port Phillip	452	5.9%
Banyule	361	4.8%
Other values (10)	1741	22.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
boroondara	813	8.4%
moreland	771	8.0%
moonee	701	7.2%
valley	701	7.2%
darebin	651	6.7%
glen	647	6.7%
eira	647	6.7%
stonnington	521	5.4%
maribyrnong	484	5.0%
yarra	455	4.7%
Other values (14)	3294	34.0%

Most occurring characters

Value	Count	Frequency (%)
n	8656	12.3%
o	7839	11.2%
a	7523	10.7%
r	6734	9.6%
e	5835	8.3%
l	4409	6.3%
i	4184	6.0%
M	2599	3.7%
y	2181	3.1%
	2088	3.0%
Other values (21)	18113	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	70161	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	8656	12.3%
o	7839	11.2%
a	7523	10.7%
r	6734	9.6%
e	5835	8.3%
l	4409	6.3%
i	4184	6.0%
M	2599	3.7%
y	2181	3.1%
	2088	3.0%
Other values (21)	18113	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	70161	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	8656	12.3%
o	7839	11.2%
a	7523	10.7%
r	6734	9.6%
e	5835	8.3%
l	4409	6.3%
i	4184	6.0%
M	2599	3.7%
y	2181	3.1%
	2088	3.0%
Other values (21)	18113	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	70161	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	8656	12.3%
o	7839	11.2%
a	7523	10.7%
r	6734	9.6%
e	5835	8.3%
l	4409	6.3%
i	4184	6.0%
M	2599	3.7%
y	2181	3.1%
	2088	3.0%
Other values (21)	18113	25.8%

Lattitude
Real number (ℝ)

High correlation

Distinct	2288
Distinct (%)	30.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-37.810194

Minimum	-37.9462
Maximum	-37.6783
Zeros	0
Zeros (%)	0.0%
Negative	7597
Negative (%)	100.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	-37.9462
5-th percentile	-37.9225
Q1	-37.8536
median	-37.8037
Q3	-37.763
95-th percentile	-37.71556
Maximum	-37.6783
Range	0.2679
Interquartile range (IQR)	0.0906

Descriptive statistics

Standard deviation	0.061722454
Coefficient of variation (CV)	-0.0016324289
Kurtosis	-0.75374846
Mean	-37.810194
Median Absolute Deviation (MAD)	0.0449
Skewness	-0.26934708
Sum	-287244.04
Variance	0.0038096614
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-37.8361	18	0.2%
-37.8424	14	0.2%
-37.7969	13	0.2%
-37.7923	12	0.2%
-37.8198	12	0.2%
-37.7634	11	0.1%
-37.7642	11	0.1%
-37.822	11	0.1%
-37.7813	11	0.1%
-37.7988	11	0.1%
Other values (2278)	7473	98.4%

Value	Count	Frequency (%)
-37.9462	1	< 0.1%
-37.946	1	< 0.1%
-37.9454	1	< 0.1%
-37.9452	1	< 0.1%
-37.9449	3	< 0.1%
-37.9448	1	< 0.1%
-37.9446	2	< 0.1%
-37.9444	1	< 0.1%
-37.9443	2	< 0.1%
-37.9442	2	< 0.1%

Value	Count	Frequency (%)
-37.6783	1	< 0.1%
-37.6804	1	< 0.1%
-37.6859	1	< 0.1%
-37.6862	1	< 0.1%
-37.6864	1	< 0.1%
-37.6866	1	< 0.1%
-37.687	1	< 0.1%
-37.6876	1	< 0.1%
-37.6878	1	< 0.1%
-37.6885	1	< 0.1%

Longtitude
Real number (ℝ)

High correlation

Distinct	2699
Distinct (%)	35.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	144.98706

Minimum	144.7889
Maximum	145.1438
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	144.7889
5-th percentile	144.85806
Q1	144.9325
median	144.996
Q3	145.0454
95-th percentile	145.0995
Maximum	145.1438
Range	0.3549
Interquartile range (IQR)	0.1129

Descriptive statistics

Standard deviation	0.074722736
Coefficient of variation (CV)	0.00051537519
Kurtosis	-0.66464596
Mean	144.98706
Median Absolute Deviation (MAD)	0.0542
Skewness	-0.3010697
Sum	1101466.7
Variance	0.0055834873
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
144.9966	14	0.2%
144.985	13	0.2%
145.0001	11	0.1%
145.0043	11	0.1%
145.021	11	0.1%
144.9886	11	0.1%
145.0243	11	0.1%
144.997	11	0.1%
145.0505	10	0.1%
144.9999	10	0.1%
Other values (2689)	7484	98.5%

Value	Count	Frequency (%)
144.7889	1	< 0.1%
144.7918	1	< 0.1%
144.7925	1	< 0.1%
144.7928	1	< 0.1%
144.7929	1	< 0.1%
144.7936	1	< 0.1%
144.7964	1	< 0.1%
144.7975	1	< 0.1%
144.7988	1	< 0.1%
144.7991	1	< 0.1%

Value	Count	Frequency (%)
145.1438	1	< 0.1%
145.1436	1	< 0.1%
145.1417	1	< 0.1%
145.1392	1	< 0.1%
145.139	1	< 0.1%
145.1386	1	< 0.1%
145.1384	1	< 0.1%
145.138	1	< 0.1%
145.1379	1	< 0.1%
145.1375	1	< 0.1%

Regionname
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Southern Metropolitan	3109
Northern Metropolitan	2206
Western Metropolitan	1686
Eastern Metropolitan	564
South-Eastern Metropolitan	32

Length

Max length	26
Median length	21
Mean length	20.724891
Min length	20

Characters and Unicode

Total characters	157447
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Northern Metropolitan
2nd row	Northern Metropolitan
3rd row	Northern Metropolitan
4th row	Northern Metropolitan
5th row	Northern Metropolitan

Common Values

Value	Count	Frequency (%)
Southern Metropolitan	3109	40.9%
Northern Metropolitan	2206	29.0%
Western Metropolitan	1686	22.2%
Eastern Metropolitan	564	7.4%
South-Eastern Metropolitan	32	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
metropolitan	7597	50.0%
southern	3109	20.5%
northern	2206	14.5%
western	1686	11.1%
eastern	564	3.7%
south-eastern	32	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	22823	14.5%
o	20541	13.0%
r	17400	11.1%
e	16880	10.7%
n	15194	9.7%
a	8193	5.2%
M	7597	4.8%
i	7597	4.8%
	7597	4.8%
p	7597	4.8%
Other values (9)	26028	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	157447	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	22823	14.5%
o	20541	13.0%
r	17400	11.1%
e	16880	10.7%
n	15194	9.7%
a	8193	5.2%
M	7597	4.8%
i	7597	4.8%
	7597	4.8%
p	7597	4.8%
Other values (9)	26028	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	157447	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	22823	14.5%
o	20541	13.0%
r	17400	11.1%
e	16880	10.7%
n	15194	9.7%
a	8193	5.2%
M	7597	4.8%
i	7597	4.8%
	7597	4.8%
p	7597	4.8%
Other values (9)	26028	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	157447	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	22823	14.5%
o	20541	13.0%
r	17400	11.1%
e	16880	10.7%
n	15194	9.7%
a	8193	5.2%
M	7597	4.8%
i	7597	4.8%
	7597	4.8%
p	7597	4.8%
Other values (9)	26028	16.5%

Propertycount
Real number (ℝ)

Distinct	141
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7460.303

Minimum	389
Maximum	21650
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	389
5-th percentile	2211
Q1	4480
median	6567
Q3	10331
95-th percentile	14949
Maximum	21650
Range	21261
Interquartile range (IQR)	5851

Descriptive statistics

Standard deviation	4371.9393
Coefficient of variation (CV)	0.58602704
Kurtosis	1.4766184
Mean	7460.303
Median Absolute Deviation (MAD)	2694
Skewness	1.1317704
Sum	56675922
Variance	19113853
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21650	227	3.0%
10969	204	2.7%
14949	185	2.4%
8870	177	2.3%
14577	153	2.0%
10579	144	1.9%
11918	143	1.9%
14887	141	1.9%
9264	136	1.8%
11204	125	1.6%
Other values (131)	5962	78.5%

Value	Count	Frequency (%)
389	5	0.1%
394	1	< 0.1%
438	5	0.1%
534	5	0.1%
588	19	0.3%
608	5	0.1%
790	11	0.1%
802	10	0.1%
821	7	0.1%
851	11	0.1%

Value	Count	Frequency (%)
21650	227	3.0%
17496	32	0.4%
14949	185	2.4%
14887	141	1.9%
14577	153	2.0%
13240	120	1.6%
11918	143	1.9%
11364	123	1.6%
11308	114	1.5%
11204	125	1.6%

Price_per_Room
Real number (ℝ)

High correlation

Distinct	2034
Distinct (%)	26.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	383553.06

Minimum	32750
Maximum	2450000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	59.5 KiB

Quantile statistics

Minimum	32750
5-th percentile	185000
Q1	260000
median	343333.33
Q3	458333.33
95-th percentile	710900
Maximum	2450000
Range	2417250
Interquartile range (IQR)	198333.33

Descriptive statistics

Standard deviation	180360.77
Coefficient of variation (CV)	0.47023683
Kurtosis	12.492406
Mean	383553.06
Median Absolute Deviation (MAD)	94583.333
Skewness	2.3159361
Sum	2.9138526 × 10⁹
Variance	3.2530009 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300000	80	1.1%
400000	72	0.9%
350000	64	0.8%
500000	61	0.8%
250000	58	0.8%
325000	56	0.7%
450000	56	0.7%
200000	54	0.7%
260000	50	0.7%
275000	48	0.6%
Other values (2024)	6998	92.1%

Value	Count	Frequency (%)
32750	1	< 0.1%
36250	1	< 0.1%
85000	1	< 0.1%
86666.66667	1	< 0.1%
95000	1	< 0.1%
96250	1	< 0.1%
100333.3333	1	< 0.1%
101666.6667	1	< 0.1%
106666.6667	1	< 0.1%
110000	1	< 0.1%

Value	Count	Frequency (%)
2450000	1	< 0.1%
2400000	1	< 0.1%
2262500	1	< 0.1%
2115000	1	< 0.1%
2083333.333	1	< 0.1%
1812500	1	< 0.1%
1720000	1	< 0.1%
1700000	1	< 0.1%
1675000	1	< 0.1%
1630000	1	< 0.1%

Year_sold
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

2016	6336
2017	1261

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	30388
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2017
4th row	2017
5th row	2016

Common Values

Value	Count	Frequency (%)
2016	6336	83.4%
2017	1261	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2016	6336	83.4%
2017	1261	16.6%

Most occurring characters

Value	Count	Frequency (%)
2	7597	25.0%
0	7597	25.0%
1	7597	25.0%
6	6336	20.9%
7	1261	4.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30388	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	7597	25.0%
0	7597	25.0%
1	7597	25.0%
6	6336	20.9%
7	1261	4.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30388	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	7597	25.0%
0	7597	25.0%
1	7597	25.0%
6	6336	20.9%
7	1261	4.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30388	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	7597	25.0%
0	7597	25.0%
1	7597	25.0%
6	6336	20.9%
7	1261	4.1%

Category
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.5 KiB

Affordable	3823
Expensive	3774

Length

Max length	10
Median length	10
Mean length	9.503225
Min length	9

Characters and Unicode

Total characters	72196
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Expensive
2nd row	Expensive
3rd row	Expensive
4th row	Affordable
5th row	Expensive

Common Values

Value	Count	Frequency (%)
Affordable	3823	50.3%
Expensive	3774	49.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
affordable	3823	50.3%
expensive	3774	49.7%

Most occurring characters

Value	Count	Frequency (%)
e	11371	15.8%
f	7646	10.6%
A	3823	5.3%
o	3823	5.3%
r	3823	5.3%
d	3823	5.3%
a	3823	5.3%
b	3823	5.3%
l	3823	5.3%
E	3774	5.2%
Other values (6)	22644	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	72196	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	11371	15.8%
f	7646	10.6%
A	3823	5.3%
o	3823	5.3%
r	3823	5.3%
d	3823	5.3%
a	3823	5.3%
b	3823	5.3%
l	3823	5.3%
E	3774	5.2%
Other values (6)	22644	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	72196	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	11371	15.8%
f	7646	10.6%
A	3823	5.3%
o	3823	5.3%
r	3823	5.3%
d	3823	5.3%
a	3823	5.3%
b	3823	5.3%
l	3823	5.3%
E	3774	5.2%
Other values (6)	22644	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	72196	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	11371	15.8%
f	7646	10.6%
A	3823	5.3%
o	3823	5.3%
r	3823	5.3%
d	3823	5.3%
a	3823	5.3%
b	3823	5.3%
l	3823	5.3%
E	3774	5.2%
Other values (6)	22644	31.4%

Interactions

Correlations

	Bathroom	Bedroom2	Car	Category	CouncilArea	Distance	Landsize	Lattitude	Longtitude	Method	Postcode	Price	Price_per_Room	Propertycount	Regionname	Rooms	Type	Year_sold
Bathroom	1.000	0.561	0.356	0.385	0.089	0.102	0.213	-0.098	0.132	0.070	0.104	0.482	0.162	-0.042	0.086	0.573	0.233	0.000
Bedroom2	0.561	1.000	0.450	0.446	0.147	0.306	0.507	0.053	0.094	0.065	-0.017	0.598	-0.004	-0.102	0.086	0.933	0.402	0.000
Car	0.356	0.450	1.000	0.338	0.133	0.321	0.418	0.009	0.118	0.031	0.024	0.329	0.051	-0.055	0.085	0.451	0.296	0.062
Category	0.385	0.446	0.338	1.000	0.353	0.170	0.000	0.290	0.270	0.114	0.300	0.768	0.592	0.205	0.242	0.500	0.520	0.049
CouncilArea	0.089	0.147	0.133	0.353	1.000	0.479	0.000	0.552	0.635	0.106	0.744	0.179	0.189	0.433	0.848	0.144	0.222	0.065
Distance	0.102	0.306	0.321	0.170	0.479	1.000	0.397	-0.020	0.248	0.058	0.120	-0.045	-0.329	-0.234	0.301	0.300	0.183	0.000
Landsize	0.213	0.507	0.418	0.000	0.000	0.397	1.000	0.088	0.144	0.000	-0.007	0.432	0.128	-0.110	0.000	0.523	0.030	0.049
Lattitude	-0.098	0.053	0.009	0.290	0.552	-0.020	0.088	1.000	-0.339	0.053	-0.645	-0.262	-0.392	-0.040	0.451	0.048	0.147	0.046
Longtitude	0.132	0.094	0.118	0.270	0.635	0.248	0.144	-0.339	1.000	0.074	0.688	0.272	0.278	0.110	0.600	0.093	0.159	0.017
Method	0.070	0.065	0.031	0.114	0.106	0.058	0.000	0.053	0.074	1.000	0.081	0.083	0.055	0.054	0.080	0.091	0.075	0.024
Postcode	0.104	-0.017	0.024	0.300	0.744	0.120	-0.007	-0.645	0.688	0.081	1.000	0.267	0.377	0.179	0.649	-0.023	0.147	0.045
Price	0.482	0.598	0.329	0.768	0.179	-0.045	0.432	-0.262	0.272	0.083	0.267	1.000	0.729	0.010	0.174	0.623	0.423	0.056
Price_per_Room	0.162	-0.004	0.051	0.592	0.189	-0.329	0.128	-0.392	0.278	0.055	0.377	0.729	1.000	0.120	0.198	-0.020	0.169	0.060
Propertycount	-0.042	-0.102	-0.055	0.205	0.433	-0.234	-0.110	-0.040	0.110	0.054	0.179	0.010	0.120	1.000	0.358	-0.105	0.139	0.034
Regionname	0.086	0.086	0.085	0.242	0.848	0.301	0.000	0.451	0.600	0.080	0.649	0.174	0.198	0.358	1.000	0.102	0.123	0.031
Rooms	0.573	0.933	0.451	0.500	0.144	0.300	0.523	0.048	0.093	0.091	-0.023	0.623	-0.020	-0.105	0.102	1.000	0.454	0.000
Type	0.233	0.402	0.296	0.520	0.222	0.183	0.030	0.147	0.159	0.075	0.147	0.423	0.169	0.139	0.123	0.454	1.000	0.011
Year_sold	0.000	0.000	0.062	0.049	0.065	0.000	0.049	0.046	0.017	0.024	0.045	0.056	0.060	0.034	0.031	0.000	0.011	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount	Price_per_Room	Year_sold	Category
0	Abbotsford	85 Turner St	2	h	1480000	S	Biggin	2016-12-03	2	3067	2	1	1	202	Yarra	-38	145	Northern Metropolitan	4019	740000	2016	Expensive
1	Abbotsford	25 Bloomburg St	2	h	1035000	S	Biggin	2016-02-04	2	3067	2	1	0	156	Yarra	-38	145	Northern Metropolitan	4019	517500	2016	Expensive
2	Abbotsford	5 Charles St	3	h	1465000	SP	Biggin	2017-03-04	2	3067	3	2	0	134	Yarra	-38	145	Northern Metropolitan	4019	488333	2017	Expensive
3	Abbotsford	40 Federation La	3	h	850000	PI	Biggin	2017-03-04	2	3067	3	2	1	94	Yarra	-38	145	Northern Metropolitan	4019	283333	2017	Affordable
4	Abbotsford	55a Park St	4	h	1600000	VB	Nelson	2016-06-04	2	3067	3	1	2	120	Yarra	-38	145	Northern Metropolitan	4019	400000	2016	Expensive
5	Abbotsford	129 Charles St	2	h	941000	S	Jellis	2016-05-07	2	3067	2	1	0	181	Yarra	-38	145	Northern Metropolitan	4019	470500	2016	Expensive
6	Abbotsford	124 Yarra St	3	h	1876000	S	Nelson	2016-05-07	2	3067	4	2	0	245	Yarra	-38	145	Northern Metropolitan	4019	625333	2016	Expensive
7	Abbotsford	98 Charles St	2	h	1636000	S	Nelson	2016-10-08	2	3067	2	1	2	256	Yarra	-38	145	Northern Metropolitan	4019	818000	2016	Expensive
8	Abbotsford	6/241 Nicholson St	1	u	300000	S	Biggin	2016-10-08	2	3067	1	1	1	0	Yarra	-38	145	Northern Metropolitan	4019	300000	2016	Affordable
9	Abbotsford	10 Valiant St	2	h	1097000	S	Biggin	2016-10-08	2	3067	3	1	2	220	Yarra	-38	145	Northern Metropolitan	4019	548500	2016	Expensive

	Suburb	Address	Rooms	Type	Price	Method	SellerG	Date	Distance	Postcode	Bedroom2	Bathroom	Car	Landsize	CouncilArea	Lattitude	Longtitude	Regionname	Propertycount	Price_per_Room	Year_sold	Category
7587	Brighton East	7 Holmhurst Ct	4	t	1700000	PI	Hodges	2017-04-29	11	3187	4	3	2	312	Bayside	-38	145	Southern Metropolitan	6938	425000	2017	Expensive
7588	Brighton East	55 Milroy St	5	h	1900000	PI	Hodges	2017-04-29	11	3187	5	3	2	583	Bayside	-38	145	Southern Metropolitan	6938	380000	2017	Expensive
7589	Brighton East	7/36 Union St	3	t	972000	S	Gary	2017-04-29	11	3187	3	2	1	119	Bayside	-38	145	Southern Metropolitan	6938	324000	2017	Expensive
7590	Brunswick	129 Glenlyon Rd	3	h	1652000	S	Jellis	2017-05-06	5	3056	3	1	2	506	Moreland	-38	145	Northern Metropolitan	11918	550667	2017	Expensive
7591	Brunswick	3/15 Mitchell St	2	u	735000	SP	Walshe	2017-05-06	5	3056	2	1	2	173	Moreland	-38	145	Northern Metropolitan	11918	367500	2017	Affordable
7592	Brunswick	217 Victoria St	3	h	1210000	S	Woodards	2017-05-06	5	3056	3	1	0	282	Moreland	-38	145	Northern Metropolitan	11918	403333	2017	Expensive
7593	Brunswick	4/287 Albion St	1	h	412000	S	Nelson	2017-04-08	5	3056	1	1	1	85	Moreland	-38	145	Northern Metropolitan	11918	412000	2017	Affordable
7594	Brunswick	2/199 Barkly St	1	u	528000	S	Nelson	2017-04-08	5	3056	1	1	1	0	Moreland	-38	145	Northern Metropolitan	11918	528000	2017	Affordable
7595	Brunswick	10 Bennie St	3	h	1115000	S	Caine	2017-04-08	5	3056	3	1	1	249	Moreland	-38	145	Northern Metropolitan	11918	371667	2017	Expensive
7596	Brunswick	373 Brunswick Rd	3	h	1300000	VB	Nelson	2017-04-08	5	3056	3	2	3	299	More	-38	145	Southern Metropolitan	6567	433333	2017	Expensive

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)